Robust optimal dispatch of a power system based on a zero-sum game

被引：0

作者：

Dong Y. ^{[1
]}

Yang J. ^{[1
]}

Zhu Y. ^{[1
]}

Li Q. ^{[2
]}

Chen B. ^{[3
]}

Nie C. ^{[1
]}

机构：

[1] School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou

[2] Economic Research Institute, State Grid Henan Electric Power Company, Zhengzhou

[3] Henan Senyuan Electric Co., Ltd., Changge

来源：

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2022年 / 50卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Distributed energy; Min-max model; Power dispatch; Robust optimization; Zero-sum game;

D O I：

10.19783/j.cnki.pspc.210505

中图分类号：

学科分类号：

摘要：

With the large-scale accessing of various forms of distributed energy, its inherent random characteristics and multi-player conflicts of interest bring new challenges to power system dispatching. By deeply integrating a robust optimization and zero-sum game mechanism, taking nature and power dispatcher as game players, a robust dispatching collaborative planning method for a power system considering the game between dispatcher and nature is proposed. There is a problem of the uncertainty of the coupling between the traffic and energy properties of electric vehicles. To address this electric vehicles are first clustered based on their traffic attributes. Then, based on power output and operating cost characteristics of the vehicles, wind power and thermal power units, a min-max scheduling game model with multiple energy forms is established and analysed by a two-stage relaxation algorithm. The simulation results confirm that the proposed dispatching model and related strategies can realize the coordinated synergistic economic operation of wind, electric vehicles and other energy without relying on accurate wind power prediction. This provides a new approach for solving the power dispatching decision problem of uncertain distributed energy access. © 2022 Power System Protection and Control Press.

引用

页码：55 / 64

页数：9

共 24 条

[1] SWANSON R A., Foundations of human resource development, Industrial & Commercial Training, 18, 7, pp. 27-30, (2010)
[2] BAI Hao, YUAN Zhiyong, ZHOU Changcheng, Et al., Dispatching method of maximum power supply capacity of a power distributed network considering fluctuation and correlation of renewable energy, Power System Protection and Control, 49, 8, pp. 66-73, (2021)
[3] LU Peng, TIAN Hao, WU Weiming, Et al., Demand side energy hub and energy storage cooperate to smooth peak and valley and improve wind power consumption model, Journal of Electric Power Science and Technology, 36, 1, pp. 42-51, (2021)
[4] MADHIARASAN M., Accurate prediction of different forecast horizons wind speed using a recursive radial basis function neural network, Protection and Control of Modern Power Systems, 5, 3, pp. 48-56, (2020)
[5] LI Junhui, FENG Xichao, YAN Gangui, Et al., Survey on frequency regulation technology in high wind penetration power system, Power System Protection and Control, 46, 2, pp. 163-170, (2018)
[6] PATTANAIK J K, BASU M, DASH D P., Review on application and comparison of metaheuristic techniques to multi-area economic dispatch problem, Protection and Control of Modern Power Systems, 2, 2, pp. 178-188, (2017)
[7] PENG Yuan, LOU Suhua, WU Yaowu, Et al., Low-carbon economic dispatch of power system with wind power considering solvent-storaged carbon capture power plant, Transactions of China Electrotechnical Society, pp. 1-9
[8] HAN Zifen, JING Qianming, ZHANG Yankai, Et al., Review of wind power forecasting methods and new trends, Power System Protection and Control, 47, 24, pp. 178-187, (2019)
[9] PAN Feng, CHEN Jiong, ZHANG Qiaolin, Economic dispatch of electrothermal system considering wind power uncertainty, Water Resources and Power, 39, 1, pp. 206-210, (2021)
[10] CHEN Mingqiang, GAO Jianfei, CHANG Guogang, Et al., Research on orderly charging strategy of micro-grid electric vehicles in V2G model, Power System Protection and Control, 48, 8, pp. 141-148, (2020)

← 1 2 3 →